Technology

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

Our client, a leading name in the insurance sector, is hiring a Data Engineer to drive their data innovation efforts. About the role: As a Data Engineer, you'll design and optimize data pipelines and systems to power business objectives. Your work will enable smarter decision-making and enhance efficiency across the organization.Build and maintain robust data pipelines to process and integrate diverse data sources.Collaborate with teams to ensure reliable datasets for insights and analytics.Implement best practices for data quality, performance, and system monitoring.Optimize cloud-based data platforms and support data governance efforts. About you:Degree in Computer Science, Engineering, or a related field. Advanced certifications are a plus.Experience designing data pipelines and architectures.Proficiency in Python, SQL, or similar programming languages.Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.Familiarity with big data tools such as Spark or Hadoop.Strong problem-solving skills and a team-focused attitude.

Involved Solutions is collaborating with a leading cybersecurity consultancy to hire a SOC Manager to lead their Security Operations Centre (SOC) and help protect their clients from evolving cyber threats.About the Role: As the SOC Manager, you will play a critical role in overseeing the day-to-day operations of the SOC, ensuring the effective monitoring, detection, and response to security incidents. You will lead a team of talented analysts and engineers, driving operational excellence while maintaining a strong focus on delivering exceptional service to clients.This is a fantastic opportunity to join a respected consultancy at the forefront of cybersecurity, where you will have the chance to shape SOC strategies and make a tangible impact in protecting businesses from cyber risks.ResponsibilitiesManage and oversee the Security Operations Centre, ensuring 24/7 coverage and effective incident response.Lead and mentor a team of SOC analysts, providing guidance on threat detection, investigation, and mitigation.Develop and implement SOC processes, playbooks, and best practices to enhance operational efficiency.Collaborate with internal teams and clients to understand security needs and provide tailored solutions.Monitor the threat landscape, ensuring the SOC stays ahead of emerging risks and trends.Maintain and enhance the SOC's technical tools and capabilities, including SIEM, EDR, and threat intelligence platforms. About you:Proven experience in a SOC management or similar leadership role within cybersecurity.Strong understanding of security operations, threat analysis, and incident response processes.Proficiency with SOC tools such as SIEM platforms, EDR solutions, and threat intelligence systems.Exceptional leadership and communication skills, with the ability to inspire and guide a team.Relevant certifications such as CISSP, CISM, or equivalent are highly desirable.A proactive and adaptable approach to addressing complex challenges in a dynamic environment.

Our client is an innovative Insurtech company that is transforming the way insurance is delivered using data and advanced technology. They are on a mission to make insurance more efficient, personalised, and accessible, helping customers navigate their coverage needs seamlessly.About the role: This role is integral to driving data-driven decisions and enhancing their product offerings. You will collaborate closely with various business and Product teams to build, deploy, and refine predictive models, ensuring they align with business objectives and deliver exceptional value to customers.Develop, implement, and maintain predictive models to solve complex business challenges.Analyse large, diverse datasets to extract actionable insights and trends.Collaborate with cross-functional teams, including product managers and engineers, to understand requirements and integrate data science solutions into products.Optimize and validate models for performance, scalability, and accuracy.Communicate findings and recommendations to both technical and non-technical stakeholders.Stay up-to-date with the latest advancements in data science, machine learning, and Insurtech trends. About you: Must-Have:Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.5+ years of experience in data science or a related field.Proven experience building and deploying machine learning models.Proficiency in programming languages such as Python or R.Strong understanding of machine learning algorithms, statistical methods, and data visualization tools.Experience working with product teams to translate business needs into technical solutions.Preferred:Experience in the Insurtech or fintech industry.Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).Knowledge of A/B testing and experimentation methods.Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Our client is a high-growth leader in the q-commerce industry, redefining fast, reliable e-commerce solutions. They are hiring a strategic Head of Engineering to lead their engineering teams and drive technological excellence.About the Role:Lead and manage cross-functional engineering teams (platform, mobile, data, infrastructure).Drive technology strategy, ensuring systems are scalable, efficient, and customer-focused.Spearhead innovation, integrating new technologies to enhance products and operations.Work closely with product and leadership teams to align engineering efforts with business objectives.Foster a high-performance, collaborative culture, optimizing workflows and engineering processes.About you:10+ years of engineering experience, with at least 5 years in senior leadership roles.Proven experience in managing engineering teams in fast-paced, high-growth environments (preferably q-commerce, e-commerce, or logistics).Strong expertise in modern technologies (cloud, microservices, DevOps, AI/ML).Exceptional leadership, problem-solving, and communication skills.

As the Head of Data Analytics at this prominent UAE-based conglomerate, you will lead the charge in transforming raw data into strategic insights that drive key business decisions and support long-term growth. Your role will involve shaping and executing the group's data strategy, integrating analytics across all levels of the organization, and ensuring that data is leveraged as a vital asset to enhance performance and inform strategic objectives.About the role:Develop and execute a robust data and reporting strategy that aligns with the group's objectives, empowering informed decision-making and driving measurable business outcomes.Cultivate a data-driven culture across the organization, highlighting the strategic value of analytics at all levels.Lead the design and implementation of intuitive dashboards, reports, and KPIs that provide a unified view of business performance and enable data-driven actions.Ensure the integrity, quality, and security of data by overseeing frameworks that comply with regional regulations and best practices.Stay ahead of the curve on emerging data technologies, ensuring timely and cost-effective delivery of data initiatives.Manage, mentor, and inspire a high-performing team to deliver impactful analytics solutions while fostering professional growth and development. About you:Proven experience in senior data management, analytics, and business intelligence roles.Technical expertise in tools such as SQL, Python, R, Tableau, and Power BI, combined with knowledge of data warehousing, ETL, and advanced analytics techniques.The ability to align data strategies with business goals, translating complex data into actionable insights for senior leaders and teams.Strong leadership skills to inspire teams and build cross-functional stakeholder relationships.A track record of fostering a data-driven culture that enables organizational growth and transformation

We have partnered with a fintech client in Dubai to hire a Golang Engineer to join their team.About the role:Design and implement key business systems, ensuring high performance, scalability, and reliability.Collaborate closely with cross-functional teams, including product and front-end developers, to iterate quickly and improve business functionalities.Optimize backend infrastructure, focusing on microservices, API development, and efficient data management.Write high-quality, maintainable code, perform code reviews, and enforce coding standards to ensure technical excellence.Tackle complex technical issues related to high-concurrency, low-latency, and large-scale data processing.Mentor team members, share technical best practices, and drive continuous improvement in development processes.Ensure the ongoing stability and performance of existing systems through proactive maintenance and optimization. About you:Over 5 years of backend development experience, with at least 3 years of hands-on experience in Golang.Strong knowledge of data structures, algorithms, and system design, with a focus on performance optimization.Proficient in designing and building microservices-based architectures, and experienced with technologies like gRPC, RESTful APIs, and message queues.Expertise in database management and optimization, both SQL and NoSQL, with experience handling large-scale data workflows.Deep understanding of distributed systems, particularly in high-concurrency environments.

Following their recent funding our client is hiring a Product Manager with a strong background in B2C Fintech to drive the product vision, strategy, and execution within a fast-paced, growing organisation. This role is pivotal in shaping and delivering products that meet customer needs and align with the company's strategic goals.About the Role:Product Vision & Strategy: Define, communicate, and align a clear product vision with company goals to ensure product-market fit.Roadmap Development: Develop and prioritize the product roadmap based on deep market insights, customer feedback, and competitive analysis.End-to-End Product Management: Lead the entire product lifecycle from ideation through development to launch and continuous iteration.Cross-Functional Collaboration: Partner with teams across Engineering, Risk, Customer Support, and Design to ensure seamless product delivery and execution.KYC Expertise: Leverage your experience with KYC processes to ensure regulatory compliance and smooth customer onboarding.Metrics-Driven Decisions: Use data and customer feedback to prioritize features, measure product success, and drive continuous improvement. About You:Experience: 4+ years of experience in product management, ideally within B2C Fintech or similar fast-paced, product-driven organizations.KYC Experience: Hands-on experience working with KYC (Know Your Customer) processes and regulations in a financial services context.Product Leadership: Proven ability to lead the full-cycle product development process, from concept to successful market launch.Technical Skills: Strong technical understanding to translate high-level ideas into actionable, detailed product requirements.Tool Familiarity: Comfortable using tools such as Jira, Confluence, Google Docs, and Miro.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

Our client, a leading name in the insurance sector, is hiring a Data Engineer to drive their data innovation efforts. About the role: As a Data Engineer, you'll design and optimize data pipelines and systems to power business objectives. Your work will enable smarter decision-making and enhance efficiency across the organization.Build and maintain robust data pipelines to process and integrate diverse data sources.Collaborate with teams to ensure reliable datasets for insights and analytics.Implement best practices for data quality, performance, and system monitoring.Optimize cloud-based data platforms and support data governance efforts. About you:Degree in Computer Science, Engineering, or a related field. Advanced certifications are a plus.Experience designing data pipelines and architectures.Proficiency in Python, SQL, or similar programming languages.Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.Familiarity with big data tools such as Spark or Hadoop.Strong problem-solving skills and a team-focused attitude.

Involved Solutions is collaborating with a leading cybersecurity consultancy to hire a SOC Manager to lead their Security Operations Centre (SOC) and help protect their clients from evolving cyber threats.About the Role: As the SOC Manager, you will play a critical role in overseeing the day-to-day operations of the SOC, ensuring the effective monitoring, detection, and response to security incidents. You will lead a team of talented analysts and engineers, driving operational excellence while maintaining a strong focus on delivering exceptional service to clients.This is a fantastic opportunity to join a respected consultancy at the forefront of cybersecurity, where you will have the chance to shape SOC strategies and make a tangible impact in protecting businesses from cyber risks.ResponsibilitiesManage and oversee the Security Operations Centre, ensuring 24/7 coverage and effective incident response.Lead and mentor a team of SOC analysts, providing guidance on threat detection, investigation, and mitigation.Develop and implement SOC processes, playbooks, and best practices to enhance operational efficiency.Collaborate with internal teams and clients to understand security needs and provide tailored solutions.Monitor the threat landscape, ensuring the SOC stays ahead of emerging risks and trends.Maintain and enhance the SOC's technical tools and capabilities, including SIEM, EDR, and threat intelligence platforms. About you:Proven experience in a SOC management or similar leadership role within cybersecurity.Strong understanding of security operations, threat analysis, and incident response processes.Proficiency with SOC tools such as SIEM platforms, EDR solutions, and threat intelligence systems.Exceptional leadership and communication skills, with the ability to inspire and guide a team.Relevant certifications such as CISSP, CISM, or equivalent are highly desirable.A proactive and adaptable approach to addressing complex challenges in a dynamic environment.

Our client is an innovative Insurtech company that is transforming the way insurance is delivered using data and advanced technology. They are on a mission to make insurance more efficient, personalised, and accessible, helping customers navigate their coverage needs seamlessly.About the role: This role is integral to driving data-driven decisions and enhancing their product offerings. You will collaborate closely with various business and Product teams to build, deploy, and refine predictive models, ensuring they align with business objectives and deliver exceptional value to customers.Develop, implement, and maintain predictive models to solve complex business challenges.Analyse large, diverse datasets to extract actionable insights and trends.Collaborate with cross-functional teams, including product managers and engineers, to understand requirements and integrate data science solutions into products.Optimize and validate models for performance, scalability, and accuracy.Communicate findings and recommendations to both technical and non-technical stakeholders.Stay up-to-date with the latest advancements in data science, machine learning, and Insurtech trends. About you: Must-Have:Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.5+ years of experience in data science or a related field.Proven experience building and deploying machine learning models.Proficiency in programming languages such as Python or R.Strong understanding of machine learning algorithms, statistical methods, and data visualization tools.Experience working with product teams to translate business needs into technical solutions.Preferred:Experience in the Insurtech or fintech industry.Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).Knowledge of A/B testing and experimentation methods.Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Our client is a high-growth leader in the q-commerce industry, redefining fast, reliable e-commerce solutions. They are hiring a strategic Head of Engineering to lead their engineering teams and drive technological excellence.About the Role:Lead and manage cross-functional engineering teams (platform, mobile, data, infrastructure).Drive technology strategy, ensuring systems are scalable, efficient, and customer-focused.Spearhead innovation, integrating new technologies to enhance products and operations.Work closely with product and leadership teams to align engineering efforts with business objectives.Foster a high-performance, collaborative culture, optimizing workflows and engineering processes.About you:10+ years of engineering experience, with at least 5 years in senior leadership roles.Proven experience in managing engineering teams in fast-paced, high-growth environments (preferably q-commerce, e-commerce, or logistics).Strong expertise in modern technologies (cloud, microservices, DevOps, AI/ML).Exceptional leadership, problem-solving, and communication skills.

As the Head of Data Analytics at this prominent UAE-based conglomerate, you will lead the charge in transforming raw data into strategic insights that drive key business decisions and support long-term growth. Your role will involve shaping and executing the group's data strategy, integrating analytics across all levels of the organization, and ensuring that data is leveraged as a vital asset to enhance performance and inform strategic objectives.About the role:Develop and execute a robust data and reporting strategy that aligns with the group's objectives, empowering informed decision-making and driving measurable business outcomes.Cultivate a data-driven culture across the organization, highlighting the strategic value of analytics at all levels.Lead the design and implementation of intuitive dashboards, reports, and KPIs that provide a unified view of business performance and enable data-driven actions.Ensure the integrity, quality, and security of data by overseeing frameworks that comply with regional regulations and best practices.Stay ahead of the curve on emerging data technologies, ensuring timely and cost-effective delivery of data initiatives.Manage, mentor, and inspire a high-performing team to deliver impactful analytics solutions while fostering professional growth and development. About you:Proven experience in senior data management, analytics, and business intelligence roles.Technical expertise in tools such as SQL, Python, R, Tableau, and Power BI, combined with knowledge of data warehousing, ETL, and advanced analytics techniques.The ability to align data strategies with business goals, translating complex data into actionable insights for senior leaders and teams.Strong leadership skills to inspire teams and build cross-functional stakeholder relationships.A track record of fostering a data-driven culture that enables organizational growth and transformation

We have partnered with a fintech client in Dubai to hire a Golang Engineer to join their team.About the role:Design and implement key business systems, ensuring high performance, scalability, and reliability.Collaborate closely with cross-functional teams, including product and front-end developers, to iterate quickly and improve business functionalities.Optimize backend infrastructure, focusing on microservices, API development, and efficient data management.Write high-quality, maintainable code, perform code reviews, and enforce coding standards to ensure technical excellence.Tackle complex technical issues related to high-concurrency, low-latency, and large-scale data processing.Mentor team members, share technical best practices, and drive continuous improvement in development processes.Ensure the ongoing stability and performance of existing systems through proactive maintenance and optimization. About you:Over 5 years of backend development experience, with at least 3 years of hands-on experience in Golang.Strong knowledge of data structures, algorithms, and system design, with a focus on performance optimization.Proficient in designing and building microservices-based architectures, and experienced with technologies like gRPC, RESTful APIs, and message queues.Expertise in database management and optimization, both SQL and NoSQL, with experience handling large-scale data workflows.Deep understanding of distributed systems, particularly in high-concurrency environments.

Following their recent funding our client is hiring a Product Manager with a strong background in B2C Fintech to drive the product vision, strategy, and execution within a fast-paced, growing organisation. This role is pivotal in shaping and delivering products that meet customer needs and align with the company's strategic goals.About the Role:Product Vision & Strategy: Define, communicate, and align a clear product vision with company goals to ensure product-market fit.Roadmap Development: Develop and prioritize the product roadmap based on deep market insights, customer feedback, and competitive analysis.End-to-End Product Management: Lead the entire product lifecycle from ideation through development to launch and continuous iteration.Cross-Functional Collaboration: Partner with teams across Engineering, Risk, Customer Support, and Design to ensure seamless product delivery and execution.KYC Expertise: Leverage your experience with KYC processes to ensure regulatory compliance and smooth customer onboarding.Metrics-Driven Decisions: Use data and customer feedback to prioritize features, measure product success, and drive continuous improvement. About You:Experience: 4+ years of experience in product management, ideally within B2C Fintech or similar fast-paced, product-driven organizations.KYC Experience: Hands-on experience working with KYC (Know Your Customer) processes and regulations in a financial services context.Product Leadership: Proven ability to lead the full-cycle product development process, from concept to successful market launch.Technical Skills: Strong technical understanding to translate high-level ideas into actionable, detailed product requirements.Tool Familiarity: Comfortable using tools such as Jira, Confluence, Google Docs, and Miro.